Suppr超能文献

96孔板和384孔板中基于细胞的生物测定的实验暴露评估。

Experimental exposure assessment for cell-based bioassays in 96- and 384-well plates.

作者信息

Huchthausen Julia, König Maria, Escher Beate I, Henneberger Luise

机构信息

Department of Cell Toxicology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.

Department of Geosciences, Environmental Toxicology, Eberhard Karls University Tübingen, Tübingen, Germany.

出版信息

Front Toxicol. 2023 Jul 25;5:1221625. doi: 10.3389/ftox.2023.1221625. eCollection 2023.

Abstract

cell-based bioassays have great potential for applications in the human health risk assessment of chemicals. The quantification of freely dissolved concentrations ( ) in assays is essential to generate reliable data for -to- extrapolation. Existing methods for the quantification of are limited to low-throughput microtiter plates. The present study is a proof of principle for the applicability of a solid-phase microextraction (SPME) method for the determination of in the peroxisome proliferator-activated receptor gamma (PPARγ) bioassay run in 384-well plates with 80 µL medium per well. The effect concentrations obtained from 384-well plates were compared with those obtained from 96-well plates in a previous study. Nominal effect concentrations obtained using 96- and 384-well plates agreed with each other within a factor of three, and freely dissolved effect concentrations agreed within a factor of 6.5. The good degree of agreement in the results from both plate formats proves the general applicability of the SPME method for the determination of for bioassays in 384-well plates, making the present study a first step toward exposure assessment in high-throughput bioassays.

摘要

基于细胞的生物测定在化学品的人体健康风险评估中具有巨大的应用潜力。在生物测定中对自由溶解浓度( )进行量化对于生成可靠的数据以进行剂量-反应外推至关重要。现有的量化 的方法仅限于低通量的微量滴定板。本研究证明了一种固相微萃取(SPME)方法在用于测定每孔含80 μL培养基的384孔板中进行的过氧化物酶体增殖物激活受体γ(PPARγ)生物测定中的 的适用性。将从384孔板获得的效应浓度与先前研究中从96孔板获得的效应浓度进行比较。使用96孔板和384孔板获得的标称效应浓度在三倍因子范围内相互一致,自由溶解效应浓度在6.5倍因子范围内一致。两种板型结果的良好一致性证明了SPME方法在测定384孔板生物测定中的 的普遍适用性,使本研究成为高通量生物测定中暴露评估的第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09f7/10411540/88082ddb8cb2/ftox-05-1221625-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验